Multi-label feature selection via feature manifold learning and sparsity regularization

A centroid-based gene selection method for microarray data classification

(2016) Shun Guo et al.   JOURNAL OF THEORETICAL BIOLOGY

Feature Selection via Global Redundancy Minimization

(2015) De Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Lift: Multi-Label Learning with Label-Specific Features

(2015) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-label feature selection based on max-dependency and min-redundancy

(2015) Yaojin Lin et al.   NEUROCOMPUTING

Subspace learning for unsupervised feature selection via matrix factorization

(2015) Shiping Wang et al.   PATTERN RECOGNITION

Fast multi-label feature selection based on information-theoretic feature ranking

(2015) Jaesung Lee et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

Enhancing multi-label classification by modeling dependencies among labels

(2014) Shangfei Wang et al.   PATTERN RECOGNITION

Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function

(2014) Alok Sharma et al.   PLoS One

Multi-label classification by exploiting label correlations

(2013) Ying Yu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A feature selection method using improved regularized linear discriminant analysis

(2013) Alok Sharma et al.   MACHINE VISION AND APPLICATIONS

Approximating mutual information for multi-label feature selection

(2012) J. Lee et al.   ELECTRONICS LETTERS

Feature selection for multi-label classification using multivariate mutual information

(2012) Jaesung Lee et al.   PATTERN RECOGNITION LETTERS

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

(2012) Shiming Xiang et al.   IEEE Transactions on Neural Networks and Learning Systems

Strategy of finding optimal number of features on gene expression data

(2011) A. Sharma et al.   ELECTRONICS LETTERS

gMLC: a multi-label feature selection framework for graph classification

(2011) Xiangnan Kong et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Null space based feature selection method for gene expression data

(2011) Alok Sharma et al.   International Journal of Machine Learning and Cybernetics

Random k-Labelsets for Multilabel Classification

(2010) Grigorios Tsoumakas et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A shared-subspace learning framework for multi-label classification

(2010) Shuiwang Ji et al.   ACM Transactions on Knowledge Discovery from Data

Multilabel dimensionality reduction via dependence maximization

(2010) Yin Zhang et al.   ACM Transactions on Knowledge Discovery from Data

Feature selection for multi-label naive Bayes classification

(2009) Min-Ling Zhang et al.   INFORMATION SCIENCES